The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-05"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "11449707 (up from 11267309 yesterday: 1.62 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "534267 (up from 530754 yesterday: 0.66 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3548783

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.67



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2888635 49199 1.73 794577 129947 271 0.21 4.50
Brazil 1603055 26051 1.65 735431 64867 602 0.94 4.05
India 697413 24248 3.60 376491 19693 425 2.21 2.82
Russia 680283 6719 1.00 152016 10145 134 1.34 1.49
Peru 302718 3638 1.22 72982 10589 177 1.70 3.50
Chile 295532 3685 1.26 121239 6308 116 1.87 2.13
United Kingdom 286931 519 0.18 -10411 44305 22 0.05 15.44
Mexico 256848 4683 1.86 110011 30639 273 0.90 11.93
Spain 250545 0 0.00 6617 28385 0 0.00 11.33
Italy 241611 192 0.08 4622 34861 7 0.02 14.43
Iran 240438 2560 1.08 53011 11571 163 1.43 4.81
Pakistan 231818 6535 2.90 87340 4762 143 3.10 2.05
Saudi Arabia 209509 3580 1.74 81968 1916 58 3.12 0.91
Turkey 205758 1148 0.56 27519 5225 19 0.36 2.54
France 204222 0 0.00 10069 29896 0 0.00 14.64
Germany 197523 325 0.16 10005 9023 3 0.03 4.57
South Africa 196750 8773 4.67 126712 3199 173 5.72 1.63
Bangladesh 162417 2738 1.71 74897 2052 55 2.75 1.26
Colombia 113685 3892 3.54 64789 4178 177 4.42 3.68
Canada 107394 209 0.19 6990 8739 7 0.08 8.14
Qatar 99799 616 0.62 20197 128 5 4.07 0.13
China 84871 14 0.02 536 4641 0 0.00 5.47
Argentina 77815 2439 3.24 46238 1507 26 1.76 1.94
Egypt 75253 1218 1.65 30655 3343 63 1.92 4.44
Sweden 71419 0 0.00 19805 5420 0 0.00 7.59
Indonesia 63749 1607 2.59 25472 3171 82 2.65 4.97
Belarus 63554 284 0.45 9581 423 5 1.20 0.67
Belgium 62016 178 0.29 1987 9771 0 0.00 15.76
Ecuador 61958 423 0.69 15207 4781 12 0.25 7.72
Iraq 60479 2125 3.64 40270 2473 105 4.43 4.09
United Arab Emirates 51540 683 1.34 9246 323 2 0.62 0.63
Netherlands 50834 286 0.57 1844 6146 14 0.23 12.09
Kuwait 49941 638 1.29 14021 368 3 0.82 0.74
Ukraine 49468 840 1.73 17617 1265 22 1.77 2.56
Kazakhstan 48574 1403 2.97 34078 188 0 0.00 0.39
Oman 46178 1072 2.38 22697 213 10 4.93 0.46
Singapore 44800 136 0.30 4196 26 0 0.00 0.06
Philippines 44254 2424 5.79 18324 1297 7 0.54 2.93
Portugal 43897 328 0.75 7207 1614 9 0.56 3.68
Bolivia 39297 1226 3.22 20838 1434 56 4.06 3.65
Panama 38149 1166 3.15 16731 747 27 3.75 1.96
Dominican Republic 37425 1241 3.43 14463 794 8 1.02 2.12
Poland 35950 231 0.65 6558 1517 5 0.33 4.22
Afghanistan 32951 279 0.85 8185 864 38 4.60 2.62
Switzerland 32268 70 0.22 1151 1965 0 0.00 6.09
Israel 29958 788 2.70 10903 331 1 0.30 1.10
Bahrain 29367 510 1.77 11140 97 1 1.04 0.33
Romania 28973 391 1.37 6974 1750 19 1.10 6.04
Nigeria 28711 544 1.93 12626 645 11 1.74 2.25
Armenia 28606 706 2.53 11939 484 7 1.47 1.69
Ireland 25527 18 0.07 224 1741 0 0.00 6.82
Honduras 23943 1022 4.46 15085 639 10 1.59 2.67
Guatemala 23248 747 3.32 13403 947 27 2.93 4.07
Azerbaijan 20324 523 2.64 10367 250 9 3.73 1.23
Ghana 20085 697 3.60 8121 122 5 4.27 0.61
Japan 19668 207 1.06 2299 977 0 0.00 4.97
Austria 18280 115 0.63 1171 706 1 0.14 3.86
Moldova 17814 142 0.80 6074 585 5 0.86 3.28
Serbia 16131 302 1.91 3821 311 5 1.63 1.93
Algeria 15941 441 2.85 5022 952 6 0.63 5.97
Nepal 15784 293 1.89 10024 34 0 0.00 0.22
Morocco 14215 393 2.84 5422 235 3 1.29 1.65
Korea, South 13137 46 0.35 1016 284 1 0.35 2.16
Denmark 13033 1 0.01 640 606 0 0.00 4.65
Cameroon 12592 0 0.00 3911 313 0 0.00 2.49
Czechia 12515 75 0.60 2491 348 -3 -0.85 2.78
Cote d’Ivoire 10772 310 2.96 5688 74 2 2.78 0.69
Uzbekistan 10020 312 3.21 4940 34 3 9.68 0.34

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 397131 533 0.13 13807 32206 49 0.15 8.11 20414.31 1655.53 1 in 49
California 264681 11786 4.66 112381 6373 39 0.62 2.41 6698.71 161.29 1 in 149
Florida 200111 10059 5.29 124543 3731 29 0.78 1.86 9317.14 173.71 1 in 107
Texas 194932 2779 1.45 106409 2628 21 0.81 1.35 6722.75 90.63 1 in 149
New Jersey 173402 369 0.21 6521 15211 22 0.14 8.77 19522.44 1712.53 1 in 51
Illinois 147251 639 0.44 14708 7020 6 0.09 4.77 11620.35 553.99 1 in 86
Massachusetts 109974 136 0.12 4371 8183 11 0.13 7.44 15824.73 1177.49 1 in 63
Arizona 98103 3536 3.74 62397 1825 8 0.44 1.86 12883.04 239.66 1 in 78
Georgia 95516 2197 2.35 37835 2860 3 0.11 2.99 8996.16 269.37 1 in 111
Pennsylvania 94403 481 0.51 11200 6753 4 0.06 7.15 7374.09 527.50 1 in 136
North Carolina 72992 1322 1.84 28728 1423 1 0.07 1.95 6959.52 135.68 1 in 144
Michigan 72941 360 0.50 6887 6218 0 0.00 8.52 7303.70 622.62 1 in 137
Maryland 69632 291 0.42 7931 3243 7 0.22 4.66 11517.65 536.42 1 in 87
Virginia 65748 639 0.98 11242 1853 4 0.22 2.82 7702.87 217.09 1 in 130
Louisiana 65226 1937 3.06 18607 3288 10 0.31 5.04 14030.74 707.28 1 in 71
Ohio 57150 967 1.72 16002 2911 4 0.14 5.09 4889.17 249.04 1 in 205
Tennessee 51316 1176 2.35 20973 645 8 1.26 1.26 7509.83 94.39 1 in 133
Indiana 48201 769 1.62 8292 2693 6 0.22 5.59 7159.75 400.02 1 in 140
Connecticut 46717 0 0.00 1629 4335 0 0.00 9.28 13103.29 1215.89 1 in 76
South Carolina 44847 1461 3.37 26052 820 7 0.86 1.83 8710.33 159.26 1 in 115
Alabama 43953 1091 2.55 18338 1007 0 0.00 2.29 8964.17 205.38 1 in 112
Minnesota 38136 512 1.36 7665 1508 5 0.33 3.95 6762.14 267.39 1 in 148
Washington 35898 651 1.85 10064 1359 5 0.37 3.79 4714.18 178.47 1 in 212
Colorado 34048 199 0.59 4933 1701 0 0.00 5.00 5912.41 295.38 1 in 169
Wisconsin 31577 522 1.68 8819 796 0 0.00 2.52 5423.33 136.71 1 in 184
Iowa 31517 456 1.47 7591 721 0 0.00 2.29 9989.32 228.52 1 in 100
Mississippi 30900 226 0.74 11384 1111 4 0.36 3.60 10382.54 373.30 1 in 96
Utah 24952 410 1.67 10639 184 3 1.66 0.74 7783.01 57.39 1 in 128
Missouri 23816 233 0.99 7554 1051 1 0.10 4.41 3880.45 171.24 1 in 258
Arkansas 23814 605 2.61 11313 287 1 0.35 1.21 7891.11 95.10 1 in 127
Nevada 22418 843 3.91 11217 534 4 0.75 2.38 7278.20 173.37 1 in 137
Nebraska 19929 102 0.51 3199 284 0 0.00 1.43 10302.38 146.81 1 in 97
Rhode Island 16991 0 0.00 1044 960 0 0.00 5.65 16038.91 906.21 1 in 62
Kentucky 16376 0 0.00 3931 585 0 0.00 3.57 3665.44 130.94 1 in 273
Kansas 16081 170 1.07 4980 284 1 0.35 1.77 5519.83 97.48 1 in 181
Oklahoma 15931 283 1.81 7700 398 0 0.00 2.50 4026.06 100.58 1 in 248
New Mexico 13256 193 1.48 3533 513 0 0.00 3.87 6321.93 244.66 1 in 158
Delaware 12128 132 1.10 1864 512 0 0.00 4.22 12454.76 525.79 1 in 80
District of Columbia 10482 35 0.34 715 559 2 0.36 5.33 14852.31 792.07 1 in 67
Oregon 10230 300 3.02 4853 215 2 0.94 2.10 2425.47 50.98 1 in 412
Puerto Rico 7916 129 1.66 2105 155 0 0.00 1.96 2478.63 48.53 1 in 403
Idaho 7733 363 4.93 4334 93 0 0.00 1.20 4315.13 51.90 1 in 232
South Dakota 7063 35 0.50 1165 97 0 0.00 1.37 7983.87 109.65 1 in 125
New Hampshire 5897 25 0.43 579 381 2 0.53 6.46 4336.95 280.21 1 in 231
North Dakota 3816 37 0.98 736 80 0 0.00 2.10 5007.47 104.98 1 in 200
Maine 3415 18 0.53 622 109 2 1.87 3.19 2540.52 81.09 1 in 394
West Virginia 3262 57 1.78 972 94 0 0.00 2.88 1825.26 52.60 1 in 548
Wyoming 1634 28 1.74 574 20 0 0.00 1.22 2823.28 34.56 1 in 354
Vermont 1249 11 0.89 122 56 0 0.00 4.48 2001.64 89.75 1 in 500
Montana 1212 45 3.86 611 23 0 0.00 1.90 1134.01 21.52 1 in 882
Alaska 1134 27 2.44 474 16 0 0.00 1.41 1550.14 21.87 1 in 645
Hawaii 1023 24 2.40 295 19 0 0.00 1.86 722.52 13.42 1 in 1384

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4233803 397131 9.38 1299204 13807 1.06 217636.40
2 California 4680138 264681 5.66 1878142 112381 5.98 118447.85
3 Florida 2200199 200111 9.10 791184 124543 15.74 102440.91
4 Texas 2133457 194932 9.14 837474 106409 12.71 73577.93
5 New Jersey 1534640 173402 11.30 437024 6521 1.49 172777.21
6 Illinois 1762828 147251 8.35 570982 14708 2.58 139114.02
7 Massachusetts 891685 109974 12.33 178975 4371 2.44 128309.18
8 Arizona 604362 98103 16.23 266317 62397 23.43 79365.79
9 Georgia 949185 95516 10.06 328395 37835 11.52 89398.81
10 Pennsylvania 824700 94403 11.45 241467 11200 4.64 64419.68
11 North Carolina 1036838 72992 7.04 409708 28728 7.01 98858.67
12 Michigan 1146819 72941 6.36 333321 6887 2.07 114832.82
13 Maryland 579962 69632 12.01 164653 7931 4.82 95929.99
14 Virginia 709355 65748 9.27 240355 11242 4.68 83106.25
15 Louisiana 802454 65226 8.13 293122 18607 6.35 172615.52
16 Ohio 868762 57150 6.58 322542 16002 4.96 74322.40
17 Tennessee 896166 51316 5.73 280946 20973 7.47 131149.30
18 Indiana 521722 48201 9.24 173331 8292 4.78 77496.29
19 Connecticut 499669 46717 9.35 150563 1629 1.08 140148.32
20 South Carolina 430809 44847 10.41 182473 26052 14.28 83673.13
21 Alabama 449886 43953 9.77 152431 18338 12.03 91753.83
22 Minnesota 674015 38136 5.66 256305 7665 2.99 119514.00
23 Washington 607276 35898 5.91 157130 10064 6.40 79748.46
24 Colorado 350717 34048 9.71 106074 4933 4.65 60901.73
25 Wisconsin 618851 31577 5.10 198727 8819 4.44 106287.34
26 Iowa 332472 31517 9.48 107838 7591 7.04 105377.06
27 Mississippi 310141 30900 9.96 96088 11384 11.85 104208.83
28 Utah 371308 24952 6.72 103595 10639 10.27 115818.11
29 Missouri 419509 23816 5.68 144020 7554 5.25 68352.57
30 Arkansas 338893 23814 7.03 141904 11313 7.97 112297.10
31 Nevada 307697 22418 7.29 97086 11217 11.55 99896.56
32 Nebraska 189928 19929 10.49 53813 3199 5.94 98184.04
33 Rhode Island 250954 16991 6.77 59436 1044 1.76 236891.86
34 Kentucky 395647 16376 4.14 101062 3931 3.89 88557.73
35 Kansas 191561 16081 8.39 62409 4980 7.98 65753.64
36 Oklahoma 364717 15931 4.37 113899 7700 6.76 92170.75
37 New Mexico 372288 13256 3.56 113294 3533 3.12 177548.10
38 Delaware 123941 12128 9.79 42154 1864 4.42 127280.33
39 District of Columbia 105993 10482 9.89 41463 715 1.72 150185.12
40 Oregon 264201 10230 3.87 98012 4853 4.95 62640.46
42 Idaho 104266 7733 7.42 41286 4334 10.50 58182.04
43 South Dakota 84003 7063 8.41 18684 1165 6.24 94955.23
44 New Hampshire 123749 5897 4.77 27328 579 2.12 91011.25
45 North Dakota 113128 3816 3.37 26248 736 2.80 148449.86
46 Maine 107932 3415 3.16 38074 622 1.63 80293.88
47 West Virginia 184821 3262 1.76 53622 972 1.81 103416.79
48 Wyoming 35327 1634 4.63 2262 574 25.38 61039.22
49 Vermont 70024 1249 1.78 19042 122 0.64 112219.93
50 Montana 100106 1212 1.21 41199 611 1.48 93663.98
51 Alaska 122732 1134 0.92 49265 474 0.96 167770.95
52 Hawaii 84325 1023 1.21 24003 295 1.23 59556.94

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 211987 11923 5.96 115262 54.37 87682 9026 355 4.09 4.26
Tamil Nadu 114978 3827 3.44 66571 57.90 46836 1571 61 4.04 1.37
Delhi 100823 1379 1.39 72088 71.50 25620 3115 48 1.57 3.09
Gujarat 36858 735 2.03 26323 71.42 8574 1961 17 0.87 5.32
Uttar Pradesh 28636 929 3.35 19109 66.73 8718 809 24 3.06 2.83
Telangana 25733 3421 15.33 14781 57.44 10646 306 18 6.25 1.19
Karnataka 25317 1843 7.85 10529 41.59 14382 402 30 8.06 1.59
West Bengal 22987 861 3.89 15235 66.28 6973 779 22 2.91 3.39
Rajasthan 20688 932 4.72 16278 78.68 3949 461 8 1.77 2.23
Andhra Pradesh 20019 1322 7.07 8920 44.56 10860 239 7 3.02 1.19
Haryana 17504 499 2.93 13335 76.18 3893 276 11 4.15 1.58
Madhya Pradesh 15284 680 4.66 11579 75.76 3088 617 19 3.18 4.04
Bihar 12140 280 2.36 9014 74.25 3029 97 7 7.78 0.80
Assam 11737 735 6.68 7883 67.16 3837 14 0 0.00 0.12
Odisha 9526 456 5.03 6486 68.09 2992 48 2 4.35 0.50
Jammu and Kashmir 8675 246 2.92 5318 61.30 3219 138 6 4.55 1.59
Punjab 6491 208 3.31 4494 69.23 1828 169 5 3.05 2.60
Kerala 5623 193 3.55 3341 59.42 2252 28 2 7.69 0.50
State Unassigned 4913 284 6.14 0 0.00 4913 0 0 NaN 0.00
Chhattisgarh 3305 144 4.56 2644 80.00 647 14 0 0.00 0.42
Uttarakhand 3161 37 1.18 2586 81.81 505 42 0 0.00 1.33
Jharkhand 2854 90 3.26 2068 72.46 766 20 2 11.11 0.70
Goa 1813 129 7.66 1061 58.52 745 7 1 16.67 0.39
Tripura 1580 22 1.41 1206 76.33 373 1 0 0.00 0.06
Manipur 1390 65 4.91 734 52.81 656 0 0 NaN 0.00
Himachal Pradesh 1077 29 2.77 750 69.64 304 10 0 0.00 0.93
Puducherry 1011 65 6.87 480 47.48 517 14 0 0.00 1.38
Ladakh 1005 0 0.00 836 83.18 168 1 0 0.00 0.10
Nagaland 625 47 8.13 243 38.88 382 0 0 NaN 0.00
Chandigarh 487 21 4.51 401 82.34 80 6 0 0.00 1.23
Dadra and Nagar Haveli and Daman and Diu 400 27 7.24 175 43.75 222 0 0 NaN 0.00
Arunachal Pradesh 269 10 3.86 78 29.00 190 1 0 0.00 0.37
Mizoram 197 11 5.91 133 67.51 64 0 0 NaN 0.00
Andaman and Nicobar Islands 141 16 12.80 74 52.48 67 0 0 NaN 0.00
Sikkim 125 22 21.36 65 52.00 47 0 0 NaN 0.00
Meghalaya 88 16 22.22 43 48.86 44 1 0 0.00 1.14
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1083105 94416 98 0.10 8.72 230 36 9445 16697 17.68
Piemonte 430300 31423 18 0.06 7.30 226 9 1217 4102 13.05
Emilia-Romagna 517215 28637 24 0.08 5.54 88 9 1029 4268 14.90
Veneto 1009833 19326 8 0.04 1.91 16 2 388 2023 10.47
Toscana 352549 10285 9 0.09 2.92 12 2 330 1114 10.83
Liguria 154061 9999 8 0.08 6.49 43 3 289 1558 15.58
Lazio 350978 8186 14 0.17 2.33 199 11 861 841 10.27
Marche 143029 6790 1 0.01 4.75 5 0 194 987 14.54
P.A. Trento 127886 4873 0 0.00 3.81 2 0 42 405 8.31
Campania 292593 4719 5 0.11 1.61 36 0 201 432 9.15
Puglia 188242 4536 0 0.00 2.41 20 0 110 545 12.01
Friuli Venezia Giulia 199988 3326 0 0.00 1.66 7 0 73 345 10.37
Abruzzo 110052 3309 4 0.12 3.01 30 0 163 464 14.02
Sicilia 221210 3094 0 0.00 1.40 13 2 138 282 9.11
P.A. Bolzano 87236 2647 2 0.08 3.03 3 0 85 292 11.03
Umbria 100193 1447 0 0.00 1.44 4 0 9 80 5.53
Sardegna 87553 1370 1 0.07 1.56 4 0 12 133 9.71
Valle d’Aosta 18707 1196 0 0.00 6.39 4 0 5 146 12.21
Calabria 99467 1183 0 0.00 1.19 3 0 26 97 8.20
Molise 23529 445 0 0.00 1.89 0 0 21 23 5.17
Basilicata 40562 404 0 0.00 1.00 0 0 4 27 6.68

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55863 79 0.14 5574 8 0.14 9.98 6543.12 652.87 1 in 153
Ontario 37653 128 0.34 2743 -1 -0.04 7.28 2559.37 186.45 1 in 391
Alberta 8259 0 0.00 155 0 0.00 1.88 1871.45 35.12 1 in 534
British Columbia 2947 0 0.00 177 0 0.00 6.01 576.61 34.63 1 in 1734
Nova Scotia 1064 0 0.00 63 0 0.00 5.92 1088.54 64.45 1 in 919
Saskatchewan 796 0 0.00 14 0 0.00 1.76 673.63 11.85 1 in 1485
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 32 2 6.67 0 0 NaN 0.00 202.33 0.00 1 in 4942
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1643 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1268 7 0.55
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 792 7 0.88
Shanghai 716 7 0.98
Jiangsu 654 0 0.00
Sichuan 596 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 239 1 0.42
Tianjin 199 3 1.51
Shanxi 198 0 0.00
Yunnan 186 2 1.08
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 157 2 1.27
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 8828.35 397.15 1 in 113
Brazil 7659.13 309.92 1 in 131
India 520.85 14.71 1 in 1920
Russia 4707.84 70.21 1 in 212
Peru 9409.95 329.16 1 in 106
Chile 16372.96 349.47 1 in 61
United Kingdom 4318.65 666.84 1 in 232
Mexico 1987.99 237.14 1 in 503
Spain 5369.59 608.34 1 in 186
Italy 3994.89 576.41 1 in 250
Iran 2962.52 142.57 1 in 338
Pakistan 1176.74 24.17 1 in 850
Saudi Arabia 6360.32 58.17 1 in 157
Turkey 2546.19 64.66 1 in 393
France 3048.54 446.28 1 in 328
Germany 2385.83 108.99 1 in 419
South Africa 3468.79 56.40 1 in 288
Bangladesh NA NA 1 in NA
Colombia 2316.79 85.14 1 in 432
Canada 2856.98 232.48 1 in 350

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 216969 23190 10.69
Los Angeles California 115024 3487 3.03
Cook Illinois 92532 4627 5.00
Maricopa Arizona 62296 883 1.42
Miami-Dade Florida 47011 1043 2.22
Nassau New York 42031 2186 5.20
Suffolk New York 41642 1983 4.76
Westchester New York 35043 1427 4.07
Harris Texas 34108 387 1.13
Philadelphia Pennsylvania 26565 1619 6.09
Dallas Texas 25840 395 1.53
Middlesex Massachusetts 24153 1879 7.78
Wayne Michigan 23182 2728 11.77
Broward Florida 21239 412 1.94
Suffolk Massachusetts 19985 1007 5.04
Bergen New Jersey 19625 2004 10.21
Riverside California 19450 479 2.46
Prince George’s Maryland 18998 689 3.63
Hudson New Jersey 18976 1455 7.67
Essex New Jersey 18887 2040 10.80
Clark Nevada 18442 439 2.38
Passaic New Jersey 16954 1194 7.04
Middlesex New Jersey 16913 1331 7.87
Orange California 16854 366 2.17
Palm Beach Florida 16836 542 3.22
Fairfield Connecticut 16757 1377 8.22
San Diego California 16726 387 2.31
Union New Jersey 16455 1328 8.07
Essex Massachusetts 16254 1119 6.88
Montgomery Maryland 15129 749 4.95
San Bernardino California 14922 269 1.80
Bexar Texas 14553 122 0.84
Hillsborough Florida 14336 150 1.05
Fairfax Virginia 14153 496 3.50
Orange Florida 14032 59 0.42
Rockland New York 13648 668 4.89
Tarrant Texas 13423 233 1.74
Providence Rhode Island 13144 0 0.00
Mecklenburg North Carolina 12806 154 1.20
Salt Lake Utah 12540 113 0.90
Worcester Massachusetts 12499 941 7.53
New Haven Connecticut 12409 1077 8.68
Hennepin Minnesota 12329 786 6.38
Oakland Michigan 12233 1091 8.92
Milwaukee Wisconsin 12233 391 3.20
Shelby Tennessee 11793 200 1.70
Hartford Connecticut 11728 1378 11.75
Marion Indiana 11624 683 5.88
Travis Texas 11131 136 1.22
Davidson Tennessee 11089 122 1.10
King Washington 10941 620 5.67
Orange New York 10775 484 4.49
District of Columbia District of Columbia 10482 559 5.33
Franklin Ohio 10271 422 4.11
Jefferson Louisiana 10024 487 4.86
Lake Illinois 9954 423 4.25
Ocean New Jersey 9706 972 10.01
Gwinnett Georgia 9645 173 1.79
Pima Arizona 9621 282 2.93
DuPage Illinois 9311 475 5.10
Monmouth New Jersey 9308 821 8.82
Norfolk Massachusetts 9273 940 10.14
Duval Florida 9146 68 0.74
Plymouth Massachusetts 8740 668 7.64
Fulton Georgia 8652 314 3.63
Montgomery Pennsylvania 8610 811 9.42
Pinellas Florida 8533 198 2.32
Bristol Massachusetts 8321 590 7.09
Baltimore Maryland 8285 481 5.81
Orleans Louisiana 8107 534 6.59
Puerto Rico 7916 155 1.96
Baltimore City Maryland 7897 344 4.36
Kane Illinois 7856 275 3.50
Mercer New Jersey 7740 589 7.61
Cuyahoga Ohio 7724 373 4.83
Prince William Virginia 7570 147 1.94
Macomb Michigan 7541 919 12.19
Lee Florida 7498 165 2.20
Yakima Washington 7489 160 2.14
Camden New Jersey 7479 521 6.97
Erie New York 7475 639 8.55
Douglas Nebraska 7456 96 1.29
Yuma Arizona 7346 114 1.55
Denver Colorado 7344 382 5.20
Delaware Pennsylvania 7334 659 8.99
Imperial California 7039 114 1.62
El Paso Texas 6953 135 1.94
Will Illinois 6923 320 4.62
DeKalb Georgia 6905 173 2.51
St. Louis Missouri 6887 584 8.48
Hampden Massachusetts 6870 666 9.69
Alameda California 6855 140 2.04
Morris New Jersey 6809 806 11.84
Polk Iowa 6578 179 2.72
Fresno California 6110 77 1.26
Out of GA Georgia 6027 48 0.80
Wake North Carolina 5980 49 0.82
Hamilton Ohio 5924 197 3.33
Bucks Pennsylvania 5883 567 9.64
East Baton Rouge Louisiana 5874 274 4.66

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc